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@String { iccv = {IEEE International Conference on Computer Vision (ICCV)} }

@Misc{ceres-solver,
  Title                    = {Ceres Solver},

  Author                   = {Sameer Agarwal and Keir Mierle and Others},
  HowPublished             = {\url{http://ceres-solver.org}}
}

@InProceedings{agrawal2015learning,
  Title                    = {Learning to see by moving},
  Author                   = {Agrawal, Pulkit and Carreira, Joao and Malik, Jitendra},
  Booktitle                = {Proceedings of the IEEE International Conference on Computer Vision},
  Year                     = {2015},
  Pages                    = {37--45}
}

@InProceedings{alexandre20123d,
  Title                    = {3D descriptors for object and category recognition: a comparative evaluation},
  Author                   = {Alexandre, Lu{\'\i}s A},
  Booktitle                = {Workshop on Color-Depth Camera Fusion in Robotics at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal},
  Year                     = {2012},
  Number                   = {3},
  Organization             = {Citeseer},
  Pages                    = {7},
  Volume                   = {1}
}

@InProceedings{altwaijry2016learning,
  Title                    = {Learning to Match Aerial Images with Deep Attentive Architectures},
  Author                   = {Altwaijry, Hani and Trulls, Eduard and Hays, James and Fua, Pascal and Belongie, Serge},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2016},
  Number                   = {EPFL-CONF-217963}
}

@Article{baker2004lucas,
  Title                    = {Lucas-kanade 20 years on: A unifying framework},
  Author                   = {Baker, Simon and Matthews, Iain},
  Journal                  = {International journal of computer vision},
  Year                     = {2004},
  Number                   = {3},
  Pages                    = {221--255},
  Volume                   = {56},

  Publisher                = {Springer}
}

@InProceedings{balaguer2007towards,
  Title                    = {Towards quantitative comparisons of robot algorithms: Experiences with SLAM in simulation and real world systems},
  Author                   = {Balaguer, Benjamin and Carpin, Stefano and Balakirsky, Stephen},
  Booktitle                = {IROS 2007 workshop},
  Year                     = {2007},
  Organization             = {Citeseer}
}

@InProceedings{bao2011semantic,
  Title                    = {Semantic structure from motion},
  Author                   = {Bao, Sid Yingze and Savarese, Silvio},
  Booktitle                = {2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {2025--2032}
}

@InProceedings{bay2006surf,
  Title                    = {Surf: Speeded up robust features},
  Author                   = {Bay, Herbert and Tuytelaars, Tinne and Van Gool, Luc},
  Booktitle                = {European conference on computer vision},
  Year                     = {2006},
  Organization             = {Springer},
  Pages                    = {404--417}
}

@InProceedings{breitenmoser2011monocular,
  Title                    = {A monocular vision-based system for 6D relative robot localization},
  Author                   = {Breitenmoser, Andreas and Kneip, Laurent and Siegwart, Roland},
  Booktitle                = {2011 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {79--85}
}

@InProceedings{burgard2009comparison,
  Title                    = {A comparison of SLAM algorithms based on a graph of relations},
  Author                   = {Burgard, Wolfram and Stachniss, Cyrill and Grisetti, Giorgio and Steder, Bastian and K{\"u}mmerle, Rainer and Dornhege, Christian and Ruhnke, Michael and Kleiner, Alexander and Tard{\'o}s, Juan D},
  Booktitle                = {The 2009 IEEE/RSJ International Conference on intelligent Robots and Systems, October 11-15, 2009 St. Louis, USA},
  Year                     = {2009},
  Organization             = {IEEE conference proceedings},
  Pages                    = {2089--2095}
}

@InProceedings{Burlion2013TrackGroundPoints,
  Title                    = {Keeping a ground point in the camera field of view of a landing UAV},
  Author                   = {L. Burlion and H. de Plinval},
  Booktitle                = {2013 IEEE International Conference on Robotics and Automation},
  Year                     = {2013},
  Month                    = {May},
  Pages                    = {5763-5768},

  Doi                      = {10.1109/ICRA.2013.6631405},
  ISSN                     = {1050-4729},
  Keywords                 = {aircraft control;autonomous aerial vehicles;control system synthesis;nonlinear control systems;robot vision;visual servoing;camera FoV;camera field of view;control law design;ground point;landing aircraft application;nonlinear system;observation made;output constraint method;relative degree one systems;vision based automatic UAV landing;visual servoing;Aerospace control;Aircraft;Aircraft propulsion;Cameras;Nonlinear systems;Trajectory;Vectors}
}

@Article{Burri25012016,
  Title                    = {The EuRoC micro aerial vehicle datasets},
  Author                   = {Burri, Michael and Nikolic, Janosch and Gohl, Pascal and Schneider, Thomas and Rehder, Joern and Omari, Sammy and Achtelik, Markus W and Siegwart, Roland},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2016},

  Doi                      = {10.1177/0278364915620033},
  Eprint                   = {http://ijr.sagepub.com/content/early/2016/01/21/0278364915620033.full.pdf+html},
  Url                      = {http://ijr.sagepub.com/content/early/2016/01/21/0278364915620033.abstract}
}

@Article{byravan2016se3,
  Title                    = {SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks},
  Author                   = {Byravan, Arunkumar and Fox, Dieter},
  Journal                  = {arXiv preprint arXiv:1606.02378},
  Year                     = {2016}
}

@Article{cadena2016past,
  Title                    = {Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age},
  Author                   = {Cadena, Cesar and Carlone, Luca and Carrillo, Henry and Latif, Yasir and Scaramuzza, Davide and Neira, Jos{\'e} and Reid, Ian and Leonard, John J},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2016},
  Number                   = {6},
  Pages                    = {1309--1332},
  Volume                   = {32},

  Publisher                = {IEEE}
}

@InProceedings{camposeco2015using,
  Title                    = {Using vanishing points to improve visual-inertial odometry},
  Author                   = {Camposeco, Federico and Pollefeys, Marc},
  Booktitle                = {2015 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2015},
  Organization             = {IEEE},
  Pages                    = {5219--5225}
}

@Article{canny1986computational,
  Title                    = {A computational approach to edge detection},
  Author                   = {Canny, John},
  Journal                  = {IEEE Transactions on pattern analysis and machine intelligence},
  Year                     = {1986},
  Number                   = {6},
  Pages                    = {679--698},

  Publisher                = {IEEE}
}

@Article{castle2010combining,
  Title                    = {Combining monoSLAM with object recognition for scene augmentation using a wearable camera},
  Author                   = {Castle, Robert O and Klein, Georg and Murray, David W},
  Journal                  = {Image and Vision Computing},
  Year                     = {2010},
  Number                   = {11},
  Pages                    = {1548--1556},
  Volume                   = {28},

  Publisher                = {Elsevier}
}

@Article{ELIDRISSI94,
  Title                    = {Measurements of total kinetic-energy released to the {$N=2$} dissociation limit of {H}$_2$ --- evidence of the dissociation of very high vibrational {R}ydberg states of {H}$_2$ by doubly-excited states},
  Author                   = {{Chafik El Idrissi}, M. and {Roney}, A. and {Frigon}, C. and {Larzilli{\`e}re}, M.},
  Journal                  = {Chemical Physics Letters},
  Year                     = {1994},
  Number                   = {10},
  Pages                    = {260-266},
  Volume                   = {224}
}

@Article{cheung2014estimating,
  Title                    = {Estimating Location without External Cues},
  Author                   = {Cheung, Allen},
  Journal                  = {PLoS Comput Biol},
  Year                     = {2014},
  Number                   = {10},
  Pages                    = {e1003927},
  Volume                   = {10},

  Publisher                = {Public Library of Science}
}

@Article{cheung2012maintaining,
  Title                    = {Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration},
  Author                   = {Cheung, Allen and Ball, David and Milford, Michael and Wyeth, Gordon and Wiles, Janet},
  Journal                  = {PLoS Comput Biol},
  Year                     = {2012},
  Number                   = {8},
  Pages                    = {e1002651},
  Volume                   = {8},

  Publisher                = {Public Library of Science}
}

@InProceedings{chopra2005learning,
  Title                    = {Learning a similarity metric discriminatively, with application to face verification},
  Author                   = {Chopra, Sumit and Hadsell, Raia and LeCun, Yann},
  Booktitle                = {2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  Year                     = {2005},
  Organization             = {IEEE},
  Pages                    = {539--546},
  Volume                   = {1}
}

@InProceedings{choudhary2014slam,
  Title                    = {SLAM with object discovery, modeling and mapping},
  Author                   = {Choudhary, Siddharth and Trevor, Alexander JB and Christensen, Henrik I and Dellaert, Frank},
  Booktitle                = {2014 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  Year                     = {2014},
  Organization             = {IEEE},
  Pages                    = {1018--1025}
}

@Article{choy20163d,
  Title                    = {3d-r2n2: A unified approach for single and multi-view 3d object reconstruction},
  Author                   = {Choy, Christopher B and Xu, Danfei and Gwak, JunYoung and Chen, Kevin and Savarese, Silvio},
  Journal                  = {arXiv preprint arXiv:1604.00449},
  Year                     = {2016}
}

@Article{chum2004epipolar,
  Title                    = {Epipolar geometry estimation via ransac benefits from the oriented epipolar constraint},
  Author                   = {Chum, Ond{\v{r}}ej and Werner, Tom{\'a}{\v{s}} and Matas, Ji{\v{r}}{\'\i}},
  Year                     = {2004},

  Publisher                = {IEEE}
}

@Article{ciarfuglia2014evaluation,
  Title                    = {Evaluation of non-geometric methods for visual odometry},
  Author                   = {Ciarfuglia, Thomas A and Costante, Gabriele and Valigi, Paolo and Ricci, Elisa},
  Journal                  = {Robotics and Autonomous Systems},
  Year                     = {2014},
  Number                   = {12},
  Pages                    = {1717--1730},
  Volume                   = {62},

  Publisher                = {Elsevier}
}

@InProceedings{Concha2016,
  Title                    = {Visual-inertial direct SLAM},
  Author                   = {Concha, Alejo and Loianno, Giuseppe and Kumar, Vijay and Civera, Javier},
  Booktitle                = {2016 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2016},
  Organization             = {IEEE},
  Pages                    = {1331--1338}
}

@InProceedings{concha2016visual,
  Title                    = {Visual-inertial direct SLAM},
  Author                   = {Concha, Alejo and Loianno, Giuseppe and Kumar, Vijay and Civera, Javier},
  Booktitle                = {2016 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2016},
  Organization             = {IEEE},
  Pages                    = {1331--1338}
}

@Article{costante2016exploring,
  Title                    = {Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation},
  Author                   = {Costante, Gabriele and Mancini, Michele and Valigi, Paolo and Ciarfuglia, Thomas A},
  Journal                  = {IEEE Robotics and Automation Letters},
  Year                     = {2016},
  Number                   = {1},
  Pages                    = {18--25},
  Volume                   = {1},

  Publisher                = {IEEE}
}

@InProceedings{cummins2009highly,
  Title                    = {Highly scalable appearance-only SLAM-FAB-MAP 2.0.},
  Author                   = {Cummins, Mark and Newman, Paul},
  Booktitle                = {Robotics: Science and Systems},
  Year                     = {2009},
  Organization             = {Seattle, USA},
  Pages                    = {17},
  Volume                   = {5}
}

@Article{DBLPjournalscorrDaiLK16,
  Title                    = {Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry},
  Author                   = {Yuchao Dai and Hongdong Li and Laurent Kneip},
  Journal                  = {CoRR},
  Year                     = {2016},
  Volume                   = {abs/1605.00475},

  Bibsource                = {dblp computer science bibliography, http://dblp.org},
  Biburl                   = {http://dblp.uni-trier.de/rec/bib/journals/corr/DaiLK16},
  Timestamp                = {Wed, 01 Jun 2016 15:51:08 +0200},
  Url                      = {http://arxiv.org/abs/1605.00475}
}

@InProceedings{dame2013dense,
  Title                    = {Dense reconstruction using 3D object shape priors},
  Author                   = {Dame, Amaury and Prisacariu, Victor A and Ren, Carl Y and Reid, Ian},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2013},
  Pages                    = {1288--1295}
}

@Article{daubechies2010iteratively,
  Title                    = {Iteratively reweighted least squares minimization for sparse recovery},
  Author                   = {Daubechies, Ingrid and DeVore, Ronald and Fornasier, Massimo and G{\"u}nt{\"u}rk, C Sinan},
  Journal                  = {Communications on Pure and Applied Mathematics},
  Year                     = {2010},
  Number                   = {1},
  Pages                    = {1--38},
  Volume                   = {63},

  Publisher                = {Wiley Online Library}
}

@Book{davis2006direct,
  Title                    = {Direct methods for sparse linear systems},
  Author                   = {Davis, Timothy A},
  Publisher                = {Siam},
  Year                     = {2006},
  Volume                   = {2}
}

@Article{dellaert2012factor,
  Title                    = {Factor graphs and GTSAM: A hands-on introduction},
  Author                   = {Dellaert, Frank},
  Year                     = {2012},

  Publisher                = {Georgia Institute of Technology}
}

@Article{detone2016deep,
  Title                    = {Deep Image Homography Estimation},
  Author                   = {DeTone, Daniel and Malisiewicz, Tomasz and Rabinovich, Andrew},
  Journal                  = {arXiv preprint arXiv:1606.03798},
  Year                     = {2016}
}

@InProceedings{dharmasiri2016mo,
  Title                    = {MO-SLAM: Multi object SLAM with run-time object discovery through duplicates},
  Author                   = {Dharmasiri, Thanuja and Lui, Vincent and Drummond, Tom},
  Booktitle                = {2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  Year                     = {2016},
  Organization             = {IEEE},
  Pages                    = {1214--1221}
}

@InProceedings{dong2011motion,
  Title                    = {Motion tracking with fixed-lag smoothing: Algorithm and consistency analysis},
  Author                   = {Dong-Si, Tue-Cuong and Mourikis, Anastasios I},
  Booktitle                = {2011 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {5655--5662}
}

@InProceedings{Doumanoglou_2016_CVPR,
  Title                    = {Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd},
  Author                   = {Doumanoglou, Andreas and Kouskouridas, Rigas and Malassiotis, Sotiris and Kim, Tae-Kyun},
  Booktitle                = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2016},
  Month                    = {June}
}

@InProceedings{eigen2015predicting,
  Title                    = {Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture},
  Author                   = {Eigen, David and Fergus, Rob},
  Booktitle                = {Proceedings of the IEEE International Conference on Computer Vision},
  Year                     = {2015},
  Pages                    = {2650--2658}
}

@InProceedings{eigen2014depth,
  Title                    = {Depth map prediction from a single image using a multi-scale deep network},
  Author                   = {Eigen, David and Puhrsch, Christian and Fergus, Rob},
  Booktitle                = {Advances in neural information processing systems},
  Year                     = {2014},
  Pages                    = {2366--2374}
}

@InProceedings{engel2014lsd,
  Title                    = {LSD-SLAM: Large-scale direct monocular SLAM},
  Author                   = {Engel, Jakob and Sch{\"o}ps, Thomas and Cremers, Daniel},
  Booktitle                = {European Conference on Computer Vision},
  Year                     = {2014},
  Organization             = {Springer},
  Pages                    = {834--849}
}

@InProceedings{engel2013semi,
  Title                    = {Semi-dense visual odometry for a monocular camera},
  Author                   = {Engel, Jakob and Sturm, Jurgen and Cremers, Daniel},
  Booktitle                = {Proceedings of the IEEE international conference on computer vision},
  Year                     = {2013},
  Pages                    = {1449--1456}
}

@InProceedings{engel2016monodataset,
  Title                    = {A Photometrically Calibrated Benchmark For Monocular Visual Odometry},
  Author                   = {J. Engel and V. Usenko and D. Cremers},
  Booktitle                = {arXiv:1607.02555},
  Year                     = {2016},
  Month                    = {July},

  Arxiv                    = { arXiv:1607.02555},
  Keywords                 = {mono-ds,dso}
}

@InProceedings{forster2007rnn,
  Title                    = {RNN-based Learning of Compact Maps for Efficient Robot Localization.},
  Author                   = {F{\"o}rster, Alexander and Graves, Alex and Schmidhuber, J{\"u}rgen},
  Booktitle                = {ESANN},
  Year                     = {2007},
  Pages                    = {537--542}
}

@InProceedings{faessler2014monocular,
  Title                    = {A monocular pose estimation system based on infrared leds},
  Author                   = {Faessler, Matthias and Mueggler, Elias and Schwabe, Karl and Scaramuzza, Davide},
  Booktitle                = {2014 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2014},
  Organization             = {IEEE},
  Pages                    = {907--913}
}

@InProceedings{forssen2010rectifying,
  Title                    = {Rectifying rolling shutter video from hand-held devices},
  Author                   = {Forss{\'e}n, Per-Erik and Ringaby, Erik},
  Booktitle                = {CVPR10, San Fransisco, USA, June 13-18, 2010},
  Year                     = {2010},
  Organization             = {IEEE Computer Society},
  Pages                    = {507--514}
}

@Article{forster2015manifold,
  Title                    = {On-manifold preintegration theory for fast and accurate visual-inertial navigation},
  Author                   = {Forster, Christian and Carlone, Luca and Dellaert, Frank and Scaramuzza, Davide},
  Journal                  = {arXiv preprint arXiv: 1512.02363},
  Year                     = {2015}
}

@InProceedings{Forster2014ICRA,
  Title                    = {{SVO}: Fast Semi-Direct Monocular Visual Odometry},
  Author                   = {Forster, Christian and Pizzoli, Matia and Scaramuzza, Davide},
  Booktitle                = {IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2014}
}

@Article{fraundorfer2012visual,
  Title                    = {Visual odometry: Part II: Matching, robustness, optimization, and applications},
  Author                   = {Fraundorfer, Friedrich and Scaramuzza, Davide},
  Journal                  = {IEEE Robotics \& Automation Magazine},
  Year                     = {2012},
  Number                   = {2},
  Pages                    = {78--90},
  Volume                   = {19},

  Publisher                = {IEEE}
}

@InProceedings{galindo2005multi,
  Title                    = {Multi-hierarchical semantic maps for mobile robotics},
  Author                   = {Galindo, Cipriano and Saffiotti, Alessandro and Coradeschi, Silvia and Buschka, P{\"a}r and Fernandez-Madrigal, Juan-Antonio and Gonzalez, Javier},
  Booktitle                = {2005 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  Year                     = {2005},
  Organization             = {IEEE},
  Pages                    = {2278--2283}
}

@InProceedings{Geiger2012CVPR,
  Title                    = {Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite},
  Author                   = {Andreas Geiger and Philip Lenz and Raquel Urtasun},
  Booktitle                = {Conference on Computer Vision and PatternRecognition (CVPR)},
  Year                     = {2012}
}

@InProceedings{GomezOjeda2016,
  Title                    = {Robust stereo visual odometry through a probabilistic combination of points and line segments},
  Author                   = {R. Gomez-Ojeda and J. Gonzalez-Jimenez},
  Booktitle                = {2016 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2016},
  Month                    = {May},
  Pages                    = {2521-2526},

  Abstract                 = {Most approaches to stereo visual odometry reconstruct the motion based on the tracking of point features along a sequence of images. However, in low-textured scenes it is often difficult to encounter a large set of point features, or it may happen that they are not well distributed over the image, so that the behavior of these algorithms deteriorates. This paper proposes a probabilistic approach to stereo visual odometry based on the combination of both point and line segment that works robustly in a wide variety of scenarios. The camera motion is recovered through non-linear minimization of the projection errors of both point and line segment features. In order to effectively combine both types of features, their associated errors are weighted according to their covariance matrices, computed from the propagation of Gaussian distribution errors in the sensor measurements. The method, of course, is computationally more expensive that using only one type of feature, but still can run in real-time on a standard computer and provides interesting advantages, including a straightforward integration into any probabilistic framework commonly employed in mobile robotics.},
  Doi                      = {10.1109/ICRA.2016.7487406},
  Keywords                 = {Gaussian distribution;covariance matrices;distance measurement;image motion analysis;image reconstruction;image sequences;image texture;minimisation;mobile robots;probability;robot vision;stereo image processing;Gaussian distribution errors;covariance matrices;image sequence;low-textured scenes;mobile robotics;motion reconstruction;point feature tracking;points and line segments probabilistic combination;projection errors nonlinear minimization;stereo visual odometry;Cameras;Feature extraction;Image segmentation;Optimization;Probabilistic logic;Robustness;Visualization}
}

@Book{companion,
  Title                    = {The {\LaTeX} Companion},
  Author                   = {Michel Goosens and Frank Mittelbach and Alexander Samarin},
  Publisher                = {Addison-Wesley Publishing Company},
  Year                     = {1994},

  Address                  = {Reading, MA},

  Pages                    = {112--125}
}

@InBook{ColdSources,
  Title                    = {Encyclopedia of Nanoscience and Nanotechnology},
  Author                   = {P. Gr{\"o}ning and L. Nilsson and P. Ruffieux and R. Clergereaux and O. Gr{\"o}ning},
  Pages                    = {547--579},
  Publisher                = {American Scientific Publishers},
  Year                     = {2004},
  Volume                   = {1}
}

@InProceedings{Graeter2015,
  Title                    = {Robust scale estimation for monocular visual odometry using structure from motion and vanishing points},
  author={Gr{\"a}ter, Johannes and Schwarze, Tobias and Lauer, Martin},
  Booktitle                = {2015 IEEE Intelligent Vehicles Symposium (IV)},
  Year                     = {2015},
  Month                    = {June},
  Pages                    = {475-480},

  Abstract                 = {While monocular visual odometry has been widely investigated, one of its key issues restrains its broad appliance: the scale drift. To tackle it, we leverage scene inherent information about the ground plane to estimate the scale for usage on Advanced Driver Assistance Systems. The algorithm is conceived so that it is independent of the unscaled ego-motion estimation, augmenting its adaptability to other frameworks. A ground plane estimation using Structure From Motion techniques is complemented by a vanishing point estimation to render our algorithm robust in urban scenarios. The method is evaluated on the KITTI dataset, outperforming state of the art algorithms in areas where urban scenery is dominant.},
  Doi                      = {10.1109/IVS.2015.7225730},
  ISSN                     = {1931-0587},
  Keywords                 = {distance measurement;driver information systems;motion estimation;KITTI dataset;advanced driver assistance systems;ground plane estimation;monocular visual odometry;robust scale estimation;scale drift;structure from motion techniques;unscaled ego-motion estimation;urban scenery;vanishing point estimation;vanishing points;Cameras;Estimation;Image reconstruction;Robustness;Trajectory;Vehicles;Visualization},
  Owner                    = {bobin},
  Timestamp                = {2016.11.21}
}

@Article{guo2014efficient,
  Title                    = {Efficient visual-inertial navigation using a rolling-shutter camera with inaccurate timestamps},
  Author                   = {Guo, Chao X and Kottas, Dimitrios G and DuToit, Ryan C and Ahmed, Ahmed and Li, Ruipeng and Roumeliotis, Stergios I},
  Journal                  = {Proceedings of Robotics: Science and Systems,(Berkeley, USA)},
  Year                     = {2014},

  Publisher                = {Citeseer}
}

@InProceedings{han2015matchnet,
  Title                    = {MatchNet: Unifying feature and metric learning for patch-based matching},
  Author                   = {Han, Xufeng and Leung, Thomas and Jia, Yangqing and Sukthankar, Rahul and Berg, Alexander C},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2015},
  Pages                    = {3279--3286}
}

@InProceedings{Handa:etal:ECCVW16,
  Title                    = {gvnn: Neural Network Library for Geometric Computer Vision},
  Author                   = {Ankur Handa and Michael Bloesch and Viorica P{\u a}tr{\u a}ucean and Simon Stent and John McCormac and Andrew Davison},
  Booktitle                = {ECCV Workshop on Geometry Meets Deep Learning},
  Year                     = {2016}
}

@InProceedings{handa:etal:ICRA2014,
  Title                    = {A Benchmark for {RGB-D} Visual Odometry, {3D} Reconstruction and {SLAM}},
  Author                   = {A. Handa and T. Whelan and J.B. McDonald and A.J. Davison},
  Booktitle                = {IEEE Intl. Conf. on Robotics and Automation, ICRA},
  Year                     = {2014},

  Address                  = {Hong Kong, China},
  Month                    = {May}
}

@InProceedings{hazirbas2016fusenet,
  Title                    = {FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture},
  Author                   = {Hazirbas, Caner and Ma, Lingni and Domokos, Csaba and Cremers, Daniel},
booktitle = "Asian Conference on Computer Vision",
 year      = "2016",
 month     = "November",
  Volume                   = {2}
}

@InProceedings{Heikkila1997,
  Title                    = {A four-step camera calibration procedure with implicit image correction},
  Author                   = {J. Heikkila and O. Silven},
  Booktitle                = {Proceedings of 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  Year                     = {1997},
  Month                    = {Jun},
  Pages                    = {1106-1112},

  Doi                      = {10.1109/CVPR.1997.609468},
  ISSN                     = {1063-6919},
  Keywords                 = {calibration;computer vision;camera calibration;geometrical camera calibration;image correction;implicit image correction;inverse model;model fitting;three-dimensional machine vision;Calibration;Cameras;Closed-form solution;Error correction;Geometrical optics;Inverse problems;Machine vision;Mathematical model;Minimization methods;Nonlinear distortion}
}

@InProceedings{hernandez2015observability,
  Title                    = {Observability, identifiability and sensitivity of vision-aided inertial navigation},
  Author                   = {Hernandez, Joshua and Tsotsos, Konstantine and Soatto, Stefano},
  Booktitle                = {2015 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2015},
  Organization             = {IEEE},
  Pages                    = {2319--2325}
}

@Article{hesch2014camera,
  Title                    = {Camera-IMU-based localization: Observability analysis and consistency improvement},
  Author                   = {Hesch, Joel A and Kottas, Dimitrios G and Bowman, Sean L and Roumeliotis, Stergios I},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2014},
  Number                   = {1},
  Pages                    = {182--201},
  Volume                   = {33},

  Publisher                = {SAGE Publications Sage UK: London, England}
}

@InProceedings{hesch2011direct,
  Title                    = {A direct least-squares (DLS) method for PnP},
  Author                   = {Hesch, Joel A and Roumeliotis, Stergios I},
  Booktitle                = {2011 International Conference on Computer Vision},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {383--390}
}

@Article{hinterstoisser2011linemod,
  Title                    = {Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes},
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  Year                     = {2011},

  Booktitle                = {IEEE International Conference on Computer Vision (ICCV)}
}

@InProceedings{hinton2011transforming,
  Title                    = {Transforming auto-encoders},
  Author                   = {Hinton, Geoffrey E and Krizhevsky, Alex and Wang, Sida D},
  Booktitle                = {International Conference on Artificial Neural Networks},
  Year                     = {2011},
  Organization             = {Springer},
  Pages                    = {44--51}
}

@InProceedings{huang2009first,
  Title                    = {A first-estimates Jacobian EKF for improving SLAM consistency},
  Author                   = {Huang, Guoquan P and Mourikis, Anastasios I and Roumeliotis, Stergios I},
  Booktitle                = {Experimental Robotics},
  Year                     = {2009},
  Organization             = {Springer},
  Pages                    = {373--382}
}

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@InProceedings{jaderberg2015spatial,
  Title                    = {Spatial transformer networks},
  Author                   = {Jaderberg, Max and Simonyan, Karen and Zisserman, Andrew and others},
  Booktitle                = {Advances in Neural Information Processing Systems},
  Year                     = {2015},
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}

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  Title                    = {Reliable kinect-based navigation in large indoor environments},
  Author                   = {Jalobeanu, Mihai and Shirakyan, Greg and Parent, Gershon and Kikkeri, Harsha and Peasley, Brian and Feniello, Ashley},
  Booktitle                = {2015 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2015},
  Organization             = {IEEE},
  Pages                    = {495--502}
}

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  Title                    = {Pushing the envelope of modern methods for bundle adjustment},
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  Journal                  = {IEEE transactions on pattern analysis and machine intelligence},
  Year                     = {2012},
  Number                   = {8},
  Pages                    = {1605--1617},
  Volume                   = {34},

  Publisher                = {IEEE}
}

@MastersThesis{metamori2004,
  Title                    = {Metamori: A library for Incremental File Checkpointing},
  Author                   = {Ashwin Raju Jeyakumar},
  School                   = {Virgina Tech},
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  Address                  = {Blacksburg},
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@InProceedings{jia2014caffe,
  Title                    = {Caffe: Convolutional architecture for fast feature embedding},
  Author                   = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Booktitle                = {Proceedings of the 22nd ACM international conference on Multimedia},
  Year                     = {2014},
  Organization             = {ACM},
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@InProceedings{jiang2012seeing,
  Title                    = {Seeing double without confusion: Structure-from-motion in highly ambiguous scenes},
  Author                   = {Jiang, Nianjuan and Tan, Ping and Cheong, Loong-Fah},
  Booktitle                = {2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2012},
  Organization             = {IEEE},
  Pages                    = {1458--1465}
}

@InProceedings{kummerle2011g,
  Title                    = {g2o: A general framework for graph optimization},
  Author                   = {K{\"u}mmerle, Rainer and Grisetti, Giorgio and Strasdat, Hauke and Konolige, Kurt and Burgard, Wolfram},
  Booktitle                = {2011 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {3607--3613}
}

@Article{kummerle2009measuring,
  Title                    = {On measuring the accuracy of SLAM algorithms},
  Author                   = {K{\"u}mmerle, Rainer and Steder, Bastian and Dornhege, Christian and Ruhnke, Michael and Grisetti, Giorgio and Stachniss, Cyrill and Kleiner, Alexander},
  Journal                  = {Autonomous Robots},
  Year                     = {2009},
  Number                   = {4},
  Pages                    = {387--407},
  Volume                   = {27},

  Publisher                = {Springer}
}

@Article{kaess2012isam2,
  Title                    = {iSAM2: Incremental smoothing and mapping using the Bayes tree},
  Author                   = {Kaess, Michael and Johannsson, Hordur and Roberts, Richard and Ila, Viorela and Leonard, John J and Dellaert, Frank},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2012},
  Number                   = {2},
  Pages                    = {216--235},
  Volume                   = {31},

  Publisher                = {Sage Publications Sage UK: London, England}
}

@Article{Kaess2008,
  Title                    = {iSAM: Incremental smoothing and mapping},
  Author                   = {Kaess, Michael and Ranganathan, Ananth and Dellaert, Frank},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2008},
  Number                   = {6},
  Pages                    = {1365--1378},
  Volume                   = {24},

  Publisher                = {IEEE}
}

@Article{kaess2008isam,
  Title                    = {iSAM: Incremental smoothing and mapping},
  Author                   = {Kaess, Michael and Ranganathan, Ananth and Dellaert, Frank},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2008},
  Number                   = {6},
  Pages                    = {1365--1378},
  Volume                   = {24},

  Publisher                = {IEEE}
}

@Article{kanitscheider2016training,
  Title                    = {Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems},
  Author                   = {Kanitscheider, Ingmar and Fiete, Ila},
  Journal                  = {arXiv preprint arXiv:1609.09059},
  Year                     = {2016}
}

@InProceedings{kar2015category,
  Title                    = {Category-specific object reconstruction from a single image},
  Author                   = {Kar, Abhishek and Tulsiani, Shubham and Carreira, Joϣo and Malik, Jitendra},
  Booktitle                = {2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2015},
  Organization             = {IEEE},
  Pages                    = {1966--1974}
}

@Article{karpenko2011digital,
  Title                    = {Digital video stabilization and rolling shutter correction using gyroscopes},
  Author                   = {Karpenko, Alexandre and Jacobs, David and Baek, Jongmin and Levoy, Marc},
  Journal                  = {CSTR},
  Year                     = {2011},
  Pages                    = {2},
  Volume                   = {1}
}

@InProceedings{kendall2015posenet,
  Title                    = {PoseNet: A convolutional network for real-time 6-DOF camera relocalization},
  Author                   = {Kendall, Alex and Grimes, Matthew and Cipolla, Roberto},
  Booktitle                = {Proceedings of the IEEE International Conference on Computer Vision},
  Year                     = {2015},
  Pages                    = {2938--2946}
}

@InProceedings{kerl15iccv,
  Title                    = {Dense Continuous-Time Tracking and Mapping with Rolling Shutter {RGB-D} Cameras},
  Author                   = {C. Kerl and J. Stueckler and D. Cremers},
  Booktitle                = {IEEE International Conference on Computer Vision (ICCV)},
  Year                     = {2015},

  Address                  = {Santiago, Chile},

  Keywords                 = {rgb-d,slam,rgbdslam,dense visual odometry}
}

@InProceedings{kikkeri2014inexpensive,
  Title                    = {An inexpensive method for evaluating the localization performance of a mobile robot navigation system},
  Author                   = {Kikkeri, Harsha and Parent, Gershon and Jalobeanu, Mihai and Birchfield, Stan},
  Booktitle                = {2014 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2014},
  Organization             = {IEEE},
  Pages                    = {4100--4107}
}

@InProceedings{kimdirectRSCamera,
  Title                    = {Direct semi-dense SLAM for rolling shutter cameras},
  Author                   = {J. H. Kim and C. Cadena and I. Reid},
  Booktitle                = {2016 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2016},
  Month                    = {May},
  Pages                    = {1308-1315},

  Doi                      = {10.1109/ICRA.2016.7487263},
  Keywords                 = {SLAM (robots);cameras;image sequences;optimisation;smoothing methods;splines (mathematics);stereo image processing;B-spline curve;camera trajectory;generalised epipolar geometry;photometric error optimisation;rolling shutter cameras;semidense SLAM system;simultaneous localization and mapping system;synthetic sequences;Cameras;Geometry;Image segmentation;Robot vision systems;Simultaneous localization and mapping;Splines (mathematics);Trajectory}
}

@InProceedings{DPMG,
  Title                    = {Design and {I}mplementation of {D}ynamic {P}rocess {M}anagement for {G}rid-enabled {MPICH}},
  Author                   = {Kim, Sangbum and Woo, Namyoon and Yeom, Heon Y. and Park, Taesoon and Park, Hyoungwoo},
  Booktitle                = {the 10th European PVM/MPI Users' Group Conference},
  Year                     = {2003},

  Address                  = {Venice, Italy},
  Month                    = sep
}

@InProceedings{klein2009parallel,
  Title                    = {Parallel tracking and mapping on a camera phone},
  Author                   = {Klein, Georg and Murray, David},
  Booktitle                = {Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on},
  Year                     = {2009},
  Organization             = {IEEE},
  Pages                    = {83--86}
}

@InProceedings{klein07parallel,
  Title                    = {Parallel Tracking and Mapping for Small {AR} Workspaces},
  Author                   = {Georg Klein and David Murray},
  Booktitle                = {Proc. Sixth {IEEE} and {ACM} International Symposium on Mixed and Augmented Reality {(ISMAR'07)}},
  Year                     = {2007},

  Address                  = {Nara, Japan},
  Month                    = {November}
}

@Book{tex,
  Title                    = {The {\TeX} Book},
  Author                   = {Donald E. Knuth},
  Publisher                = {Addison-Wesley Publishing Company},
  Year                     = {1989},

  Address                  = {Reading, MA},
  Edition                  = {15th}
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@InProceedings{kocher99,
  Title                    = {Differential Power Analysis},
  Author                   = {C. Kocher and J. Jaffe and B. Jun},
  Booktitle                = {Advances in Cryptology ({CRYPTO}~'99)},
  Year                     = {1999},
  Editor                   = {M. Wiener},
  Month                    = {August},
  Pages                    = {388-397},
  Publisher                = {Springer-Verlag},
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  Volume                   = {1666}
}

@InProceedings{konda2015learning,
  Title                    = {Learning visual odometry with a convolutional network},
  Author                   = {Konda, Kishore and Memisevic, Roland},
  Booktitle                = {International Conference on Computer Vision Theory and Applications},
  Year                     = {2015}
}

@InProceedings{kottas2013consistency,
  Title                    = {On the consistency of vision-aided inertial navigation},
  Author                   = {Kottas, Dimitrios G and Hesch, Joel A and Bowman, Sean L and Roumeliotis, Stergios I},
  Booktitle                = {Experimental Robotics},
  Year                     = {2013},
  Organization             = {Springer},
  Pages                    = {303--317}
}

@InCollection{Krasnogor2004e,
  Title                    = {Towards robust memetic algorithms},
  Author                   = {N. Krasnogor},
  Booktitle                = {Recent Advances in Memetic Algorithms},
  Publisher                = {Springer Berlin Heidelberg},
  Year                     = {2004},

  Address                  = {New York},
  Editor                   = {W.E. Hart and N. Krasnogor and J.E. Smith},
  Pages                    = {185-207},
  Series                   = {Studies in Fuzziness and Soft Computing},
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}

@InProceedings{krull2015learning,
  Title                    = {Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images},
  Author                   = {Krull, Alexander and Brachmann, Eric and Michel, Frank and Ying Yang, Michael and Gumhold, Stefan and Rother, Carsten},
  Booktitle                = {Proceedings of the IEEE International Conference on Computer Vision},
  Year                     = {2015},
  Pages                    = {954--962}
}

@Article{kuipers2000spatial,
  Title                    = {The spatial semantic hierarchy},
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  Journal                  = {Artificial intelligence},
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  Publisher                = {Elsevier}
}

@PhdThesis{lengyel2010voxel,
  Title                    = {Voxel-based terrain for real-time virtual simulations},
  Author                   = {Lengyel, Eric Stephen},
  School                   = {Citeseer},
  Year                     = {2010}
}

@Article{lepetit2009epnp,
  Title                    = {Epnp: An accurate o (n) solution to the pnp problem},
  Author                   = {Lepetit, Vincent and Moreno-Noguer, Francesc and Fua, Pascal},
  Journal                  = {International journal of computer vision},
  Year                     = {2009},
  Number                   = {2},
  Pages                    = {155--166},
  Volume                   = {81},

  Publisher                = {Springer}
}

@InProceedings{leutenegger2011brisk,
  Title                    = {BRISK: Binary robust invariant scalable keypoints},
  Author                   = {Leutenegger, Stefan and Chli, Margarita and Siegwart, Roland Y},
  Booktitle                = {2011 International conference on computer vision},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {2548--2555}
}

@Article{,
  Title                    = {Keyframe-based visual--inertial odometry using nonlinear optimization},
  Author                   = {Leutenegger, Stefan and Lynen, Simon and Bosse, Michael and Siegwart, Roland and Furgale, Paul},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2015},
  Number                   = {3},
  Pages                    = {314--334},
  Volume                   = {34},

  Publisher                = {SAGE Publications}
}

@Article{leutenegger2015keyframe,
  Title                    = {Keyframe-based visual--inertial odometry using nonlinear optimization},
  Author                   = {Leutenegger, Stefan and Lynen, Simon and Bosse, Michael and Siegwart, Roland and Furgale, Paul},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2015},
  Number                   = {3},
  Pages                    = {314--334},
  Volume                   = {34},

  Publisher                = {SAGE Publications}
}

@Article{li2013high,
  Title                    = {High-precision, consistent EKF-based visual--inertial odometry},
  Author                   = {Li, Mingyang and Mourikis, Anastasios I},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2013},
  Number                   = {6},
  Pages                    = {690--711},
  Volume                   = {32},

  Publisher                = {SAGE Publications}
}

@InProceedings{liu2015deep,
  Title                    = {Deep convolutional neural fields for depth estimation from a single image},
  Author                   = {Liu, Fayao and Shen, Chunhua and Lin, Guosheng},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2015},
  Pages                    = {5162--5170}
}

@Article{lupton2012visual,
  Title                    = {Visual-inertial-aided navigation for high-dynamic motion in built environments without initial conditions},
  Author                   = {Lupton, Todd and Sukkarieh, Salah},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2012},
  Number                   = {1},
  Pages                    = {61--76},
  Volume                   = {28},

  Publisher                = {IEEE}
}

@InProceedings{lynen2013robust,
  Title                    = {A robust and modular multi-sensor fusion approach applied to mav navigation},
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  Booktitle                = {2013 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  Year                     = {2013},
  Organization             = {IEEE},
  Pages                    = {3923--3929}
}

@Article{martinelli2012vision,
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  Author                   = {Martinelli, Agostino},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2012},
  Number                   = {1},
  Pages                    = {44--60},
  Volume                   = {28},

  Publisher                = {IEEE}
}

@Article{martinelli2013observability,
  Title                    = {Observability properties and deterministic algorithms in visual-inertial structure from motion},
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  Journal                  = {Foundations and Trends{\textregistered} in Robotics},
  Year                     = {2013},
  Number                   = {3},
  Pages                    = {139--209},
  Volume                   = {3},

  Publisher                = {Now Publishers, Inc.}
}

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@InProceedings{mourikis2007multi,
  Title                    = {A multi-state constraint Kalman filter for vision-aided inertial navigation},
  Author                   = {Mourikis, Anastasios I and Roumeliotis, Stergios I},
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  Year                     = {2007},
  Organization             = {IEEE},
  Pages                    = {3565--3572}
}

@Article{mur2015orb,
  Title                    = {ORB-SLAM: a versatile and accurate monocular SLAM system},
  Author                   = {Mur-Artal, Raul and Montiel, JMM and Tardos, Juan D},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2015},
  Number                   = {5},
  Pages                    = {1147--1163},
  Volume                   = {31},

  Publisher                = {IEEE}
}

@Article{murTRO2015,
  Title                    = {{ORB-SLAM}: a Versatile and Accurate Monocular {SLAM} System},
  Author                   = {Mur-Artal, Ra\'ul and Montiel, J. M. M. and Tard\'os, Juan D.},
  Journal                  = {IEEE Transactions on Robotics},
  Year                     = {2015},
  Number                   = {5},
  Pages                    = {1147--1163},
  Volume                   = {31},

  Doi                      = {10.1109/TRO.2015.2463671}
}

@InProceedings{MIFDB16,
  Title                    = {A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation},
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  Booktitle                = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2016},
  Note                     = {arXiv:1512.02134},

  Url                      = {http://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16}
}

@Article{nuchter2008towards,
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  Author                   = {N{\"u}chter, Andreas and Hertzberg, Joachim},
  Journal                  = {Robotics and Autonomous Systems},
  Year                     = {2008},
  Number                   = {11},
  Pages                    = {915--926},
  Volume                   = {56},

  Publisher                = {Elsevier}
}

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  Year                     = {2012}
}

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  Year                     = {2010},
  Organization             = {IEEE},
  Pages                    = {1451--1456}
}

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  Author                   = {Edwin Olson},
  Booktitle                = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
  Year                     = {2011},
  Month                    = {May},
  Pages                    = {3400-3407},
  Publisher                = {IEEE},

  Keywords                 = {Robot navigation, SLAM, Visual Fiducial, ARToolkit}
}

@Misc{STNImplementation,
  Title                    = {{Open Source Implementation of Spatial Transformer Networks}},

  Author                   = {Maxime Oquab},
  HowPublished             = {URL https://github.com/qassemoquab/stnbhwd},
  Year                     = {2015}
}

@InProceedings{ozuysal2009pose,
  Title                    = {Pose estimation for category specific multiview object localization},
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  Year                     = {2009},
  Organization             = {IEEE},
  Pages                    = {778--785}
}

@InProceedings{Ozyesil2015,
  Title                    = {Robust camera location estimation by convex programming},
  Author                   = {Ozyesil, Onur and Singer, Amit},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2015},
  Pages                    = {2674--2683}
}

@InProceedings{ozyesil2015robust,
  Title                    = {Robust camera location estimation by convex programming},
  Author                   = {Ozyesil, Onur and Singer, Amit},
  Booktitle                = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  Year                     = {2015},
  Pages                    = {2674--2683}
}

@Article{patron2015spline,
  Title                    = {A spline-based trajectory representation for sensor fusion and rolling shutter cameras},
  Author                   = {Patron-Perez, Alonso and Lovegrove, Steven and Sibley, Gabe},
  Journal                  = {International Journal of Computer Vision},
  Year                     = {2015},
  Number                   = {3},
  Pages                    = {208--219},
  Volume                   = {113},

  Publisher                = {Springer}
}

@InProceedings{Pertile2016,
  Title                    = {Effect of rolling shutter on visual odometry systems suitable for planetary exploration},
  Author                   = {M. Pertile and S. Chiodini and R. Giubilato and S. Debei},
  Booktitle                = {2016 IEEE Metrology for Aerospace (MetroAeroSpace)},
  Year                     = {2016},
  Month                    = {June},
  Pages                    = {598-603},

  Abstract                 = {In planetary exploration space missions, motion measurement of a vehicle on the surface of a planet is usually performed using a visual odometry method with two stereo global shutter cameras. In many technical applications, more favorable and cheaper rolling shutter cameras replace the global shutter ones. In this work, the visual odometry task is performed with rolling shutter cameras, analyzing their effect on the measurement errors. The applied visual odometry method comprises a procedure to compensate the image distortions yielded by the rolling shutter. The errors of the motion measurement are evaluated with and without the distortion compensation. Thus, the experimental tests allow also to verify the effectiveness of the compensation procedure.},
  Doi                      = {10.1109/MetroAeroSpace.2016.7573284},
  Keywords                 = {cameras;compensation;distance measurement;measurement errors;motion measurement;image distortion compensation;measurement error;motion measurement;planetary exploration space mission;rolling shutter camera effect;stereo global shutter camera;visual odometry method;Cameras;Distortion;Three-dimensional displays;Trajectory;Two dimensional displays;Vehicles;Visualization;Position and Orientation Measurement;Rolling Shutter;Uncertainty Analysis;Visual Odometry},
  Owner                    = {bobin},
  Timestamp                = {2016.11.21}
}

@Article{pillai2015monocular,
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  Author                   = {Pillai, Sudeep and Leonard, John},
  Journal                  = {arXiv preprint arXiv:1506.01732},
  Year                     = {2015}
}

@InProceedings{pizzoli2014remode,
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  Booktitle                = {2014 IEEE International Conference on Robotics and Automation (ICRA)},
  Year                     = {2014},
  Organization             = {IEEE},
  Pages                    = {2609--2616}
}

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  Booktitle                = {Robotics: Science and Systems},
  Year                     = {2013}
}

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  Month                    = may,
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  Publisher                = {IEEE}
}

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  Year                     = {2016}
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  Abstract                 = {This paper studies vision-aided inertial navigation of small-scale unmanned aerial vehicles (UAVs) in GPS-denied environments. The objectives of the navigation system are to firstly online estimate and compensate the unknown inertial measurement biases, secondly provide drift-free velocity and attitude estimates which are crucial for UAV stabilization control, and thirdly give relatively accurate position estimation such that the UAV is able to perform at least a short-term navigation when the GPS signal is not available. For the vision system, we do not presume maps or landmarks of the environment. The vision system should be able to work robustly even given low-resolution images (e.g., 160 {\texttimes}120 pixels) of near homogeneous visual features. To achieve these objectives, we propose a novel homography-based vision-aided navigation system that adopts four common sensors: a low-cost inertial measurement unit, a downward-looking monocular camera, a barometer, and a compass. The measurements of the sensors are fused by an extended Kalman filter. Based on both analytical and numerical observability analyses of the navigation system, we theoretically verify that the proposed navigation system is able to achieve the navigation objectives. We also show comprehensive simulation and real flight experimental results to verify the effectiveness and robustness of the proposed navigation system.},
  Doi                      = {10.1007/s10846-015-0206-2},
  ISSN                     = {1573-0409},
  Url                      = {http://dx.doi.org/10.1007/s10846-015-0206-2}
}

@Article{zhou2015structslam,
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  Journal                  = {IEEE Transactions on Vehicular Technology},
  Year                     = {2015},
  Number                   = {4},
  Pages                    = {1364--1375},
  Volume                   = {64},

  Publisher                = {IEEE}
}


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  Year                     = {2011},
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  Title                    = {KinectFusion: Real-time dense surface mapping and tracking},
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  Booktitle                = {2011 10th IEEE international symposium on Mixed and augmented reality (ISMAR)},
  Year                     = {2011},
  Organization             = {IEEE},
  Pages                    = {127--136},

  File                     = {:/media/bobin/DATA1/SLAM/tutorial/paper/slam/RGB-D SLAM/KinectFusion-2011-Real-time dense surface mapping and tracking.pdf:PDF}
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@Article{whelan2016elasticfusion,
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  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2016},
  Pages                    = {0278364916669237},

  File                     = {:/media/bobin/DATA1/SLAM/tutorial/paper/slam/RGB-D SLAM/ElasticFusion2015/ElasticFusion_ Real-Time Dense SLAM and Light Source Estimation-Whelan2016ijrr.pdf:PDF},
  Publisher                = {SAGE Publications}
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@InCollection{xiang2017darnn,
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  Booktitle                = {arXiv:1703.03098 [cs.CV]},
  Year                     = {2017},

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  File                     = {:media/bobin/DATA1/SLAM/paper/semantic/Net3D/DA-RNN Semantic Mapping with Data Associated Recurrent Neural Networks.pdf:PDF}
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  Journal                  = {arXiv preprint arXiv:1704.07804},
  Year                     = {2017},

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  Owner                    = {bobin},
  Timestamp                = {2017.05.08}
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  Booktitle                = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year                     = {2016},
  Month                    = {June},

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  File                     = {:/media/bobin/DATA1/SLAM/paper/semantic/ref/Blaha_Large-Scale_Semantic_3D_CVPR_2016_paper.pdf:PDF},
  Owner                    = {bobin},
  Timestamp                = {2017.05.08}
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  Journal                  = {arXiv preprint arXiv:1609.05130},
  Year                     = {2016},

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  Year                     = {2015},
  Organization             = {IEEE},
  Pages                    = {75--82},

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  Year                     = {2015},
  Organization             = {ACM},
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  Booktitle                = {Mixed and augmented reality (ISMAR), 2011 10th IEEE international symposium on},
  Year                     = {2011},
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  File                     = {:/media/bobin/DATA1/SLAM/tutorial/paper/slam/RGB-D SLAM/KinectFusion-2011-Real-time dense surface mapping and tracking.pdf:PDF}
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